I lead the automated machine learning research team at Microsoft Research in Cambridge, MA. Broadly speaking, we work on scalable probabilistic models to search through complex optimization spaces. My own research interests include Gaussian processes, Bayesian nonparametrics and scalable inference methods. In computational biology, I have worked on statistical methods to perform genome-wide association studies and predictive models for CRISPR/Cas9 gene editing.

Contact: lastname@microsoft.com

News

Internships available! (apply by Dec 2018). If you are a PhD/MS student with a strong background in machine learning/stats/applied math/optimization and interested in an internship working on machine learning please apply here

Automated machine learning in Azure . Joint model selection and hyperparameter tuning as a service is now available in Azure as part of the Azure ML offering. More details on Microsoft’s AI blog and the Azure blog. Also see CNET’s story.

Microsoft Research podcast. I was recently interviewed for the Microsoft Research podcast. The recording is available here and wherever you get your podcasts.